Program Manager - AI Transformation & Workforce Strategy

We need to output HTML fragment with sections for headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. Must not repeat job title. Must not include Job ID etc. Must preserve all substantive info, remove boilerplate. We need to parse the posting. Key sections: - Role intent (maybe About the role). The text starts: "Role intent: Be the transformation engine..." That's about the role. So we can have

About the role

with paragraph(s) containing that description. - About Schneider Electric And The Transformation: that's also about the role/company. Could be part of About the role or separate? The instruction: use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we likely need About the role heading, then maybe Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to extract content for each. Responsibilities: The "Key responsibilities" bullet list. Requirements: Might be "Required Qualifications and experience". That's qualifications. Also "Preferred Experience". Could be under Qualifications or Requirements? Usually Requirements = required qualifications. Qualifications maybe same. But we have both Required and Preferred. We could put Required under Requirements, Preferred under Qualifications? Or combine? The instruction: Use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can have both Requirements and Qualifications sections. We need to decide what goes where. Responsibilities: list of duties. Requirements: maybe the "Required Qualifications and experience" bullet list. Qualifications: maybe the "Preferred Experience" bullet list. Skills: maybe not explicitly listed; could infer from required qualifications: strong analytical, problem-solving, etc. But we should not invent. If no explicit skills list, we should not create a Skills section. Benefits: The posting includes "What's in it for me?" and "Our Total Rewards package outlines all the benefits...". There's mention of benefits: medical, dental, vision, basic life insurance, Benefit Bucks, flexible work arrangements, etc. Also mention of pay range. So we have Benefits and Pay sections. Schedule: Not mentioned; maybe flexible work options. There's "Flexible work options designed to help you thrive both professionally and personally". That's schedule/flexibility. Could be considered Schedule. But we need actual content: "Flexible work options". That's specific enough? Might be considered schedule. We'll include Schedule heading with that. Pay: The pay range: USD 168,800 - USD 253,200 per year. Also mention base pay and short-term incentives. So we include Pay. Now we need to strip boilerplate: cookie/navigation/legal/EEO/equal-opportunity/scam-warning, duplicated lines, application instructions. The posting includes at end: "At Schneider, we believe that every employee is a talent who deserves equal opportunities. This means you matter...." That's EEO boilerplate; should be removed. Also "Bring your project leadership expertise to a team that's ready to welcome you — apply now!" is application instruction; remove. Also "Our Total Rewards is our way of saying: ..." that's benefits description; keep. The EEO line after that should be removed. Also earlier: "For this U.S. based position, the expected pay range is USD 168,800 - USD 253,200 per year. This pay range includes base pay and short-term incentives. The compensation range for this full-time position applies to candidates located within the United States. Our pay ranges are determined by reviewing roles of similar responsibility and level. Within the pay range, individual pay is determined by several factors including performance, knowledge, job-related skills, experience, and relevant education or training." That's pay details; keep. Now we need to preserve all substantive information. Let's extract sections. About the role: Combine Role intent paragraph and About Schneider Electric And The Transformation paragraph(s) and The opportunity paragraph. Let's copy: Role intent: Be the transformation engine that helps Schneider Electric anticipate, adopt and scale agentic AI across software product engineering work, skills, teams, economics and operating models. About Schneider Electric And The Transformation: Schneider Electric is accelerating the transformation of Energy Management through software, services, digital capabilities and AI-powered innovation. Within Energy Management, the Software & Services Division brings together a large global software product engineering population and plays a central role in shaping the next generation of connected, intelligent and software-defined offers. Generative AI and agentic AI are now reshaping how software is designed, developed, tested, secured, operated and continuously improved. The opportunity is broader than individual productivity: it requires rethinking software product engineering workflows, team composition, skills, career paths, governance, economics and value realization. To address this strategic shift, Schneider Electric is launching a transversal program hosted in the Software & Services Division, with a mandate to understand and anticipate the impact of agentic AI on software product engineering jobs and ways of working across Energy Management. The program will be supported by BCG and sponsored by the Software & Services CTO leadership. The opportunity: We are seeking a strategic and execution-oriented transformation leader to establish and drive Schneider Electric's AI Transformation and Workforce Strategy agenda for software product engineering. This role will act as the central orchestrator of a multi-year transformation across technology, people, operating model and value realization. The successful candidate will work closely with CTOs, engineering leaders, product leaders, HR, Schneider Digital, Finance and external partners (consultants) to move the organization from AI-assisted development toward AI-enabled and agentic software product delivery. The role requires the ability to connect technology strategy with workforce transformation: understanding how software product engineering work changes, how teams evolve, which capabilities need to be built, what value is created, and how adoption can be scaled sustainably across a diverse global software product engineering population. We'll put that in

tags. Responsibilities: The bullet list under "Key responsibilities". Let's capture each line: - Define the future of AI-powered software product development lifecycle at Schneider Electric (inputs from EM CTO, S&S CTO, Strategy teams) - Contribute to develop and operationalize the vision, ambition and roadmap for AI-powered software product engineering across Energy Management. - Assess how Generative AI and agentic AI will reshape software product engineering work, team structures, governance, decision rights and workforce requirements. - Translate external technology trends and benchmarks into pragmatic transformation choices for Schneider Electric. - Support executive recommendations on future software product engineering operating models, including maturity stages from AI-assisted development to agentic and autonomous delivery models. - Orchestrate the workforce transformation - Map the baseline of software product engineering roles, skills, capabilities, personas and team structures. - Identify roles and activities that will be augmented, recombined, created or significantly redesigned as AI adoption matures. - Partner with leaders and HR to build workforce scenarios, talent implications and capability development plans. - Define upskilling and reskilling pathways for software product engineers, architects, technical leads, engineering managers and product roles, while leveraging the internal resources (Schneider Digital, Digital Academy) - Anticipate impacts on career paths, recruiting needs, talent segmentation and future workforce planning. - Identify & empower AI champions in current teams to become trainers of next enablement waves - Accelerate AI adoption across software product engineering teams - Design and execute adoption programs that move beyond tool access and training to sustained changes in software product engineering behaviors and workflows. - Lead pilot teams, adoption sprints and scaling approaches, including squad-by-squad activation where relevant. - Create repeatable playbooks for AI adoption, maturity progression, leadership activation and local change networks. - Build a clear change narrative by persona, including “what is in it for me” for software engineers, product managers, software product engineering leaders and HR stakeholders, leveraging company/EM position papers and narrative. - Ensure adoption efforts measure depth and breadth of usage, not only license activation or superficial tool engagement. - Drive value realization and transformation economics - Define and operate a robust measurement framework covering adoption, productivity, quality, developer experience, workforce impact, cost and business value. - Track AI consumption economics, including token usage, tool spend, productivity benefits and return on investment. - Build executive dashboards and governance routines to steer decisions, funding allocation and scaling priorities. - Translate pilot outcomes into value cases, investment recommendations and scale-up roadmaps. - Ensure productivity improvement is balanced with software quality, security, reliability, developer experience and ethical AI guardrails. - Shape the future software product engineering operating model - Assess how team composition, squad structures and software product engineering practices evolve as AI agents absorb more execution work. - Define future collaboration models between software engineers, product managers, architects, testers, AI agents and platform/tooling teams. - Support the design of human-in-the-loop and human-over-the-loop models, including escalation, review and accountability principles. - Partner with software product engineering leadership to ensure the transformation improves speed, simplicity, predictability and strategic value creation. - Lead transformation governance and partner orchestration - Establish and operate the transformation office, governance model, steering committee cadence and reporting drumbeat. - Coordinate workstreams across Software Engineering, Product, HR, Finance, Schneider Digital, AI platform teams and external partners. - Manage the day-to-day interaction with BCG and ensure consulting support translates into Schneider Electric-owned capabilities and outcomes. - Prepare executive decision materials, strategic recommendations, progress reviews and communication packages for senior leadership. - Act as trusted advisor to the CTO leading the transversal effort and to the executive sponsor. We need to format as

• for any list of duties/requirements/benefits. So we can have a top-level
  with each responsibility as
  • . For sub-bullets, we can nest
    • inside. We must preserve all substantive info; we can keep the sub-bullets as nested lists. Requirements: Required Qualifications and experience bullet list: - 10+ years of experience in technology transformation, software engineering, management consulting, digital transformation, strategy, product/engineering operations or related fields. - Proven track record leading complex, cross-functional transformation programs in a global environment. - Strong understanding of software product engineering organizations, SDLC, Agile/DevOps practices, developer productivity and software product engineering operating models. - Ability to engage credibly with CTOs, senior engineering leaders, product leaders, HR leaders and external partners. - Excellent analytical, problem-solving, synthesis and executive communication skills. - Demonstrated ability to translate strategic ambition into practical roadmaps, governance, metrics and measurable outcomes. We'll put under

      Requirements

      with
      . Qualifications: Preferred Experience bullet list: - Experience in a leading strategy consulting firm, technology company, software business, platform organization or CTO office. - Exposure to Generative AI, agentic AI, developer tools, AI-enabled SDLC, developer experience or engineering productivity initiatives. - Experience with workforce transformation, organization design, capability building, change management or future-of-work programs. - Experience building business cases and value measurement frameworks for technology-enabled transformations. We'll put under

      Qualifications

      with
      . Skills: Not explicitly listed; we could skip. Benefits: The "What's in it for me?" and Total Rewards description. Let's extract: What's in it for me?: - High-visibility role where your work shapes business strategy and customer outcomes - Collaborative, innovative culture that values diverse perspectives and bold ideas - Professional development opportunities including leadership training and mentorship - Flexible work options designed to help you thrive both professionally and personally Then later: "Our Total Rewards package outlines all the benefits and support you’ll enjoy as part of the Schneider Electric team: Care for Yourself and Your Family. We ensure you feel secure with benefits that help you and your family thrive: medical (with member reward points), dental, vision, and basic life insurance, Benefit Bucks (credits to apply towards your